Fabrizio Costa
Fabrizio Costa
Bestätigte E-Mail-Adresse bei exeter.ac.uk
Zitiert von
Zitiert von
An updated evolutionary classification of CRISPR–Cas systems
KS Makarova, YI Wolf, OS Alkhnbashi, F Costa, SA Shah, SJ Saunders, ...
Nature Reviews Microbiology 13 (11), 722-736, 2015
Fast neighborhood subgraph pairwise distance kernel
F Costa, K De Grave
ICML, 2010
GraphProt: modeling binding preferences of RNA-binding proteins
D Maticzka, SJ Lange, F Costa, R Backofen
Genome biology 15 (1), 1-18, 2014
Weighted decomposition kernels
S Menchetti, F Costa, P Frasconi
Proceedings of the 22nd international conference on Machine learning, 585-592, 2005
Random forest based feature induction
C Vens, F Costa
2011 IEEE 11th International Conference on Data Mining, 744-753, 2011
GraphClust: alignment-free structural clustering of local RNA secondary structures
S Heyne, F Costa, D Rose, R Backofen
Bioinformatics 28 (12), i224-i232, 2012
Towards incremental parsing of natural language using recursive neural networks
F Costa, P Frasconi, V Lombardo, G Soda
Applied Intelligence 19 (1), 9-25, 2003
Lineage-specific splicing of a brain-enriched alternative exon promotes glioblastoma progression
R Ferrarese, GR Harsh, AK Yadav, E Bug, D Maticzka, W Reichardt, ...
The Journal of clinical investigation 124 (7), 2861-2876, 2014
Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks
P Sturt, F Costa, V Lombardo, P Frasconi
Cognition 88 (2), 133-169, 2003
Characterizing leader sequences of CRISPR loci
OS Alkhnbashi, SA Shah, RA Garrett, SJ Saunders, F Costa, R Backofen
Bioinformatics 32 (17), i576-i585, 2016
CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci
OS Alkhnbashi, F Costa, SA Shah, RA Garrett, SJ Saunders, R Backofen
Bioinformatics 30 (17), i489-i496, 2014
Classification of small molecules by two-and three-dimensional decomposition kernels
A Ceroni, F Costa, P Frasconi
Bioinformatics 23 (16), 2038-2045, 2007
klog: A language for logical and relational learning with kernels
P Frasconi, F Costa, L De Raedt, K De Grave
Artificial Intelligence 217, 117-143, 2014
Freiburg RNA tools: a central online resource for RNA-focused research and teaching
M Raden, SM Ali, OS Alkhnbashi, A Busch, F Costa, JA Davis, ...
Nucleic acids research 46 (W1), W25-W29, 2018
AptaTRACE elucidates RNA sequence-structure motifs from selection trends in HT-SELEX experiments
P Dao, J Hoinka, M Takahashi, J Zhou, M Ho, Y Wang, F Costa, JJ Rossi, ...
Cell systems 3 (1), 62-70, 2016
Effective feature construction by maximum common subgraph sampling
L Schietgat, F Costa, J Ramon, L De Raedt
Machine Learning 83 (2), 137-161, 2011
MoDPepInt: an interactive web server for prediction of modular domain–peptide interactions
K Kundu, M Mann, F Costa, R Backofen
Bioinformatics 30 (18), 2668-2669, 2014
Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data
K Kundu, F Costa, M Huber, M Reth, R Backofen
PloS one 8 (5), e62732, 2013
Wide coverage natural language processing using kernel methods and neural networks for structured data
S Menchetti, F Costa, P Frasconi, M Pontil
Pattern Recognition Letters 26 (12), 1896-1906, 2005
RNAscClust: clustering RNA sequences using structure conservation and graph based motifs
M Miladi, A Junge, F Costa, SE Seemann, JH Havgaard, J Gorodkin, ...
Bioinformatics 33 (14), 2089-2096, 2017
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